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Pyplot tutorialAn introduction to the pyplot interface. Intro to pyplotmatplotlib.pyplot is a collection of command style functionsthat make matplotlib work like MATLAB.Each pyplot function makessome change to a figure: e.g., creates a figure, creates a plotting areain a figure, plots some lines in a plotting area, decorates the plotwith labels, etc. In matplotlib.pyplot various states are preservedacross function calls, so that it keeps track of things likethe current figure and plotting are...

Usage GuideThis tutorial covers some basic usage patterns and best-practices tohelp you get started with Matplotlib. General Conceptsmatplotlib has an extensive codebase that can be daunting to manynew users. However, most of matplotlib can be understood with a fairlysimple conceptual framework and knowledge of a few important points. Plotting requires action on a range of levels, from the most general(e.g., ‘contour this 2-D array’) to the most specific (e.g., ‘colorthis screen pixel red’). ...

AnnotationsAnnotating text with Matplotlib. Table of Contents Annotations Basic annotation Advanced AnnotationAnnotating with Text with BoxAnnotating with ArrowPlacing Artist at the anchored location of the AxesUsing Complex Coordinates with AnnotationsUsing ConnectionPatchAdvanced Topics Zoom effect between AxesDefine Custom BoxStyle Annotating with Text with Box Annotating with Arrow Placing Artist at the anchored location of the Axes Using Complex Coordinates with Annotations Using Conn...

Writing mathematical expressionsAn introduction to writing mathematical expressions in Matplotlib. You can use a subset TeX markup in any matplotlib text string by placing itinside a pair of dollar signs ($). Note that you do not need to have TeX installed, since Matplotlib shipsits own TeX expression parser, layout engine, and fonts. The layout engineis a fairly direct adaptation of the layout algorithms in Donald Knuth’sTeX, so the quality is quite good (matplotlib also provides a usetexopt...

Typesetting With XeLaTeX/LuaLaTeXHow to typeset text with the pgf backend in Matplotlib. Using the pgf backend, matplotlib can export figures as pgf drawing commandsthat can be processed with pdflatex, xelatex or lualatex. XeLaTeX and LuaLaTeXhave full unicode support and can use any font that is installed in the operatingsystem, making use of advanced typographic features of OpenType, AAT andGraphite. Pgf pictures created by plt.savefig('figure.pgf') can beembedded as raw comman...

Text properties and layoutControlling properties of text and its layout with Matplotlib. The matplotlib.text.Text instances have a variety ofproperties which can be configured via keyword arguments to the textcommands (e.g., title(),xlabel() and text()). PropertyValue Type alpha[[float](https://pillow.readthedocs.io/en/stable/reference/ImageMath.html#float)](https://pillow.readthedocs.io/en/stable/reference/ImageMath.html#float) backgroundcolorany matplotlib color bboxRectangle prop dict plu...

Text rendering With LaTeXRendering text with LaTeX in Matplotlib. Matplotlib has the option to use LaTeX to manage all text layout. Thisoption is available with the following backends: Agg PS PDF The LaTeX option is activated by setting text.usetex : True in your rcsettings. Text handling with matplotlib’s LaTeX support is slower thanmatplotlib’s very capable mathtext, but ismore flexible, since different LaTeX packages (font packages, math packages,etc.) can be used. The results can be str...

Text in Matplotlib PlotsIntroduction to plotting and working with text in Matplotlib. Matplotlib has extensive text support, including support formathematical expressions, truetype support for raster andvector outputs, newline separated text with arbitraryrotations, and unicode support. Because it embeds fonts directly in output documents, e.g., for postscriptor PDF, what you see on the screen is what you get in the hardcopy.FreeType supportproduces very nice, antialiased fonts, that look goo...

Overview of axes_grid1 toolkitControlling the layout of plots with the axes_grid toolkit. What is axes_grid1 toolkit?axes_grid1 is a collection of helper classes to ease displaying(multiple) images with matplotlib. In matplotlib, the axes location(and size) is specified in the normalized figure coordinates, whichmay not be ideal for displaying images that needs to have a givenaspect ratio. For example, it helps if you have a colorbar whoseheight always matches that of the image. ImageGrid, RG...

The mplot3d ToolkitGenerating 3D plots using the mplot3d toolkit. Contents The mplot3d ToolkitGetting startedLine plotsScatter plotsWireframe plotsSurface plotsTri-Surface plotsContour plotsFilled contour plotsPolygon plotsBar plotsQuiver2D plots in 3DTextSubplotting Getting startedLine plotsScatter plotsWireframe plotsSurface plotsTri-Surface plotsContour plotsFilled contour plotsPolygon plotsBar plotsQuiver2D plots in 3DTextSubplotting Line plots Scatter plots Wireframe plots Surface plots...